USC Homework-14 GeoMapping

GeoMapping homework for USC Data Analytics Bootcamp
The github repo for this code is located here.

Important points:

• This project is a Leaflet map with earthquake marker overlays.
• The source for the data is an API request to the United States Geological Survey (USGS). The link is here
• This software requires a Mapbox access token in the static/js/config.js file. You can create a Mapbox account here
• The USGS api request is for data looking back at a timespan of a month. It shows seismic activity approximately over 2.5 on the richter scale.
• Earthquake markers are sized and colored in relation to the magnitude of each event.
• Tooltips are generated for earthquake data when you hover over an earthquake location.
• A timeline function is provided to see data populate in a time sequence. When the timeline is paused you are viewing a sample of data that is generated based on stepping through each seismic event data point.
• Timeline sample sizes are based on a list with in a relative time of current event being populated. It is hard coded in miliseconds in 'timelineLayer' in logic.js file approximately code line 225.
• To run visualization you can either use:

• python -m http.server if you have python3
  • This will host the page at localhost:8000 in your web browser.
• or VS Code Open with Live Server (right click .html file).
  • This will host the page in web browser at localhost:5500 or next available port.

• Timeline sequence implemented using the Timeline plugin.
  • available on the Leaflet home page, under the 'Plugins, Time & elevation' selections. Source code here.

Useful Resources

L controls tutorial click here!

This is the information provided by Trilogy Education Services as the basis for the project.

Unit 17 | Visualizing Data with Leaflet

Background

Welcome to the United States Geological Survey (USGS)! The USGS is responsible for providing scientific data about natural hazards, the health of our ecosystems and environment; and the impacts of climate and land-use change. Their scientists develop new methods and tools to supply timely, relevant, and useful information about the Earth and its processes.

This project is to be a new tool for visualizing their earthquake data. The USGS collects a massive amount of data from all over the world each day and we want a meaningful way of displaying it. Better visualizing this data can create opportunities to educate the public and even other government organizations on issues facing our planet.

Task:

Level 1: Basic Visualization

The first task is to visualize an earthquake data set.

1. Get your data set

   

   The USGS provides earthquake data in a number of different formats, updated every 5 minutes. Visit the USGS GeoJSON Feed page and pick a data set to visualize. When you click on a data set, for example 'All Earthquakes from the Past 7 Days', you will be given a JSON representation of that data. You will be using the URL of this JSON to pull in the data for our visualization.

   

2. Import & Visualize the Data

   Create a map using Leaflet that plots all of the earthquakes from your data set based on their longitude and latitude.

   • Your data markers should reflect the magnitude of the earthquake in their size and color. Earthquakes with higher magnitudes should appear larger and darker in color.

   • Include popups that provide additional information about the earthquake when a marker is clicked.

   • Create a legend that will provide context for your map data.

   • Your visualization should look something like the map above.

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Level 2: More Data (Optional)

Compare recent earthquake data to a second plot of data on your map to illustrate the relationship between tectonic plates and seismic activity. You will need to pull in a second data set and visualize it along side your original set of data. Data on tectonic plates can be found at https://github.com/fraxen/tectonicplates.

In this step we are going to..

• Plot a second data set on our map.

• Add a number of base maps to choose from as well as separate out our two different data sets into overlays that can be turned on and off independently.

• Add layer controls to our map.

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Assessment

Final product assessed on the following metrics:

• Completion of assigned tasks

• Visual appearance

• Professionalism

Copyright

This selection of code is displayed by to Warren Ross @ this GitHub.
The content was derived from an assignment distributed by USC Data Analytics Bootcamp and Trilogy Education Services. Copyright anotated below:

Data Boot Camp (C) 2018. All Rights Reserved.